BERT outperforms classical ML by 9.7% on average at 100 labels per class and loses at most 3.2% accuracy cross-domain versus up to 20.6% for classical methods.
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Low-Shot Classification: A Comparison of Classical and Deep Transfer Machine Learning Approaches
BERT outperforms classical ML by 9.7% on average at 100 labels per class and loses at most 3.2% accuracy cross-domain versus up to 20.6% for classical methods.